Score Descriptions:

• Silhouette Score: Measures how similar a point is to its own cluster compared to other clusters. Higher values indicate better-defined clusters.
• Davies-Bouldin Score: A measure of cluster separation and compactness. Lower values are better.
• Calinski-Harabasz Score: Measures the ratio of within-cluster dispersion to between-cluster dispersion. Higher values indicate better clustering.